ESTIMATING

ESTIMATING

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suitably chosen random vector were pioneered by Alon, Matias and Szegedy , and have since played a
central role in estimating Fp and for data stream computations in general. The concept of p-stable
sketches formed by the inner product of the frequency vector with a random vector whose components
are drawn from a p-stable distribution, was proposed by Indyk for estimating Fp, for 0 < p < 2, and
has been further studied in Li . In this paper, we consider the problem of estimating Fp, for 0 < p
< 2. A disadvantage of the stable sketches technique and its variants is that they require ..................[:=> Show Contents <=:]

d by looking at thelocations of facial features in the image. Second, less intuitively,we can
estimate the locations of those features by simplylooking for them in a random collection of places.
Thislatter observation comes from work done on face tracking usingparticle systems . These
observations lead us to analyzeeach image by correlating it with a set of feature detectors
computedfor a prespeci£ed, but randomly-generated, set of facialshapes and poses. The resulting
vector is a sparse representationof the face and its pose. We train an SVR system to mapthese
vectors into yaw and pitch a..................[:=> Show Contents <=:]

s not only to the management of the system testing process but also to the estimation of the
productâ„¢s required maintenance. Here, a new approach, called Estimation of Defects based on
Defect Decay Model (ED3M) is presented that computes an estimate the defects in an ongoing testing
process. ED3M is based on estimation theory. Unlike many existing approaches, the technique
presented here does not depend on historical data from previous projects or any assumptions about
the requirements and/or testersâ„¢ productivity. It is a completely automated approach that
relies only on the data ..................[:=> Show Contents <=:]